Goles, E., Montalva-Medel, M., MacLean, S., & Mortveit, H. (2018). Block Invariance in a Family of Elementary Cellular Automata. J. Cell. Autom., 13(1-2), 15–32.
Abstract: We study the steady state invariance of elementary cellular automata (ECA) under different deterministic updating schemes. Specifically, we study a family of eleven ECA whose steady state invariance were left under conjecture in [2].
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Lozada, A., Calderon, F., Kasaneva, J. N., Borquez-Paredes, D., Olivares, R., Beghelli, A., et al. (2021). Impact of Amplification and Regeneration Schemes on the Blocking Performance and Energy Consumption of Wide-Area Elastic Optical Networks. IEEE Access, 9, 134355–134368.
Abstract: This paper studies the physical layer's impact on the blocking probability and energy consumption of wide-area dynamic elastic optical networks (EONs). For this purpose, we consider five network configurations, each named with a network configuration identifier (NCI) from 1 to 5, for which the Routing, Modulation Level, and Spectrum Assignment (RMLSA) problem is solved. NCI 1-4 are transparent configurations based on all-EDFA, hybrid Raman/EDFA amplifiers (with different Raman gain ratio Gamma(R)), all-DFRA, and alternating span configuration (EDFA and DFRA). NCI 5 is a translucent configuration based on all-EDFA and 3R regenerators. We model the physical layer for every network configuration to determine the maximum achievable reach of optical signals. Employing simulation, we calculate the blocking probability and the energy consumption of the different network configurations. In terms of blocking, our results show that NCI 2 and 3 offer the lowest blocking probability, with at least 1 and 3 orders of magnitude of difference with respect to NCI 1 and 5 at high and low traffic loads, respectively. In terms of energy consumption, the best performing alternatives are the ones with the worst blocking (NCI 1), while NCI 3 exhibits the highest energy consumption with NCI Gamma(R) = 0.75 following closely. This situation highlights a clear trade-off between blocking performance and energy cost that must be considered when designing a dynamic EON. Thus, we identify NCI 2 using Gamma(R) = 0.25 as a promising alternative to reduce the blocking probability significantly in wide-area dynamic EONs without a prohibitive increase in energy consumption.
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Vargas-Vera, M., Nagy, M., & De Pablos, P. O. (2013). A Framework For Detecting And Removing Knowledge Overlaps In A Collaborative Environment: Case Of Study A Computer Configuration Problem. J. Web Eng., 12(5), 422–438.
Abstract: This paper presents a framework for knowledge integration based on mappings between similar concepts in constraint graphs associated to a configuration problem. In particular, the paper deals with one of the problems which could arise when performing collaborative knowledge integration, namely detecting knowledge overlaps. The solution to the overlapping problem relies on the use of matching algorithms embedded in DSSim (short for Dempster-Shafer Similarity). To illustrate the approach, a case study of a computer configuration problem is presented. The solution to the knowledge overlap problem is important as it has the promise to become an alternative approach for the current knowledge integration solutions. Through our approach the real cost of integration can be reduced as it is not necessary to invest a great amount of resources beforehand a truly integrated system can be operational.
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